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SUMMARY:Notes from an All-Julia Honours Thesis - Vikram Sondergaard
DTSTART;TZID=Europe/Amsterdam:20240710T105300
DTEND;TZID=Europe/Amsterdam:20240710T105600
DTSTAMP:20260814T213231Z
UID:pretalx-juliacon2024-VJ9VQJ@pretalx.com
DESCRIPTION:For my Honours thesis\, I extended Udell et al.'s work in Gene
 ralised Low-Rank Models (GLRMs)\, making GLRMs a tool for projecting data 
 sets to a "fair" space according to various definitions of fairness. This 
 enables the identifying of features that may act as proxy discriminators f
 or protected characteristics such as gender and age. In this talk\, I will
  share my experience of completing a year-long thesis\, using Julia as the
  primary programming language\, from zero Julia knowledge.
LOCATION:Method (1.5)
URL:https://pretalx.com/juliacon2024/talk/VJ9VQJ/
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